K. Sankaralingam, Tony Nowatzki, G. Wright, Poly Palamuttam, Jitu Khare, Vinay Gangadhar, Preyas Shah
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引用次数: 3
Abstract
Where does AI hardware/software stand today? 1. The computational diversity needed to support AI is increasing2. The software user experience expectations is increasing3. GPU software maturity* is unrivalled in completeness and hence allows near complete dominance among AI industry deployment and researchers.4. This support for model diversity is fuelling these trends and increasing GPU adoption!* NVIDIA DL stack - cuDNN, TensorRT, etc.
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